Document Type
Article
Language
eng
Publication Date
7-15-2018
Publisher
Elsevier
Source Publication
Fuel
Source ISSN
0016-2361
Abstract
Understanding the interaction between transport, reaction and morphology at the scale of individual char particles is important for optimizing solid fuel gasification and combustion processes. However, most particle-scale models treat porous char particles as an effective porous continuum, even though the presence of large, irregular macropores, voids and fractures render such upscaled treatments mathematically invalid, and the models non-predictive. A new modeling framework is therefore proposed to elucidate the impact of morphology on char particle gasification and combustion. A pore-resolving, transient, three-dimensional simulation for gasification of a realistic coal char particle is developed based on X-ray micro-computed tomography (micro-CT). The large macropores and voids resolved by micro-CT are explicitly represented in the particle’s geometry and conservation equations based on first principles are solved in those regions. Upscaled, effective-continuum equations are applied only within the micro- and meso-porous grains surrounding the voids, where such equations are mathematically appropriate. To assess the impact of the realistic particle morphology, a second model which employs effective-continuum equations everywhere and assumes spherical symmetry is also developed for a particle having the same initial mass, volume, porosity, surface area and equivalent diameter as the pore-resolving model. The results indicate that large, irregular voids enhance mass transport throughout the particle and affect its overall conversion behavior when reactions occur under intra-particle diffusion control.
Recommended Citation
Fong, Greg Hingwah; Jorgensen, Scott; and Singer, Simcha L., "Pore-resolving Simulation of Char Particle Gasification Using Micro-CT" (2018). Mechanical Engineering Faculty Research and Publications. 233.
https://epublications.marquette.edu/mechengin_fac/233
Comments
Accepted version. Fuel, Vol. 224 (July 15, 2018): 752-763. DOI. © 2018 Elsevier. Used with permission.